Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
arXiv:2410.16893v3 Announce Type: replace-cross
Abstract: Bayesian optimization relies on iteratively constructing and optimizing an acquisition function. The latter turns out to be a challenging, non-convex optimization problem itself. Despite the re…